DeepSeek V3.1 Nex N1 is $0.11 cheaper per 1M input tokens (46% lower; 1.85x difference).
API cost decision in 10 seconds
Mercury 2 vs DeepSeek V3.1 Nex N1
Pick DeepSeek V3.1 Nex N1 when budget and context both matter.
Budget verdict
Pick DeepSeek V3.1 Nex N1 when budget and context both matter.
On the standard 1M input plus 500K output workload, DeepSeek V3.1 Nex N1 is estimated at $0.39 vs $0.62 for Mercury 2, saving $0.24 (38.4% lower).
DeepSeek V3.1 Nex N1 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $2.4. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
DeepSeek V3.1 Nex N1 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Mercury 2 | DeepSeek V3.1 Nex N1 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | DeepSeek V3.1 Nex N1 | $1.62 | $0.93 |
| Balanced workload | 1M input + 1M output | DeepSeek V3.1 Nex N1 | $1 | $0.64 |
| Output-heavy chatbot | 1M input + 5M output | DeepSeek V3.1 Nex N1 | $4 | $2.63 |
DeepSeek V3.1 Nex N1 is $0.25 cheaper per 1M output tokens (33.3% lower; 1.5x difference).
DeepSeek V3.1 Nex N1 has 3.07K more context (1.02x larger).
DeepSeek V3.1 Nex N1 is $0.24 cheaper on the standard workload (38.4% lower).
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
DeepSeek V3.1 Nex N1 has the lower input price; DeepSeek V3.1 Nex N1 has the lower output price; DeepSeek V3.1 Nex N1 offers the larger context window. For the 1M input plus 500K output sample, DeepSeek V3.1 Nex N1 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.62 for Mercury 2 and $0.39 for DeepSeek V3.1 Nex N1.
Choose Mercury 2 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
Choose DeepSeek V3.1 Nex N1 when you care most about lower input-token price, lower output-token price, and larger context window.
- On the standard 1M input plus 500K output workload, DeepSeek V3.1 Nex N1 is estimated at $0.39 vs $0.62 for Mercury 2, saving $0.24 (38.4% lower).
- DeepSeek V3.1 Nex N1 is $0.24 cheaper on the standard workload (38.4% lower).
- DeepSeek V3.1 Nex N1 is $0.11 cheaper per 1M input tokens (46% lower; 1.85x difference).
- DeepSeek V3.1 Nex N1 is $0.25 cheaper per 1M output tokens (33.3% lower; 1.5x difference).
- DeepSeek V3.1 Nex N1 has 3.07K more context (1.02x larger).
| Feature | Mercury 2 (Inception) | DeepSeek V3.1 Nex N1 (Nex AGI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.25 | $0.135 |
| Completion Price per 1M tokens | $0.75 | $0.5 |
| Sample Workload Cost 1M input + 500K output | $0.62 | $0.39 |
| Context Window | 128K | 131.07K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | DeepSeek V3.1 Nex N1 | On the standard 1M input plus 500K output workload, DeepSeek V3.1 Nex N1 is estimated at $0.39 vs $0.62 for Mercury 2, saving $0.24 (38.4% lower). |
| High-volume input processing | DeepSeek V3.1 Nex N1 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | DeepSeek V3.1 Nex N1 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | DeepSeek V3.1 Nex N1 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- No lower-cost same-provider swap is currently tracked for this pair.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
- Gemini 2.5 Flash Lite offers 1.05M context with $0.3 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsInception catalog
Review all tracked Inception models before deciding whether this matchup is the right shortlist.
Open Inception modelsNex AGI catalog
Check other Nex AGI models with comparable pricing, context, or release timing.
Open Nex AGI modelsMercury 2 is an extremely fast reasoning LLM, and the first reasoning diffusion LLM (dLLM). Instead of generating tokens sequentially, Mercury 2 produces and refines multiple tokens in parallel, achieving...
DeepSeek V3.1 Nex-N1 is the flagship release of the Nex-N1 series — a post-trained model designed to highlight agent autonomy, tool use, and real-world productivity. Nex-N1 demonstrates competitive performance across...